Data protection and provenance in cloud of things environment: research challenges

2020 ◽  
Vol 12 (4) ◽  
pp. 416
Author(s):  
Chundong Wang ◽  
Lei Yang ◽  
Hao Guo ◽  
Fujin Wan
Keyword(s):  
Data Protection ◽  
Research Challenges ◽  
Environment Research

scholarly journals Research in Hard-To-Reach Populations: Challenges and Strategies for Conducting Sexual Violence Studies in Applicants for International Protection beyond the European General Data Protection Regulation

2021 ◽  
Author(s):  
Lotte De Schrijver ◽  
Adina C. Inescu ◽  
Bastien Hahaut ◽  
Christophe Vandeviver ◽  
Laurent Nisen ◽  
...  
Keyword(s):  
Sexual Violence ◽  
Study Design ◽  
Data Protection ◽  
Recruitment Strategy ◽  
Quality Data ◽  
International Protection ◽  
General Data Protection Regulation ◽  
Research Challenges ◽  
Hard To Reach Populations ◽  
General Data

Background: Conducting research in hard-to-reach populations such as applicants for international protection (AIPs) brings along a number of research challenges. This is especially true for sexual violence (SV) research.Methods: We developed a study design with the intent to reach AIPs in a randomized and anonymous manner including potential illiterate respondents as well, while avoiding as much bias as possible. However, this method was developed just before the entry into force of the new European General Data Protection Regulation (GDPR), upon which important new research challenges emerged. Results: This paper describes the original study design developed to estimate SV prevalence in AIPs in Belgium. We discuss the impact of the GDPR on the recruitment strategy applied to conduct a survey on SV in a randomly selected sample of AIPs, the adapted approach to conduct the study beyond GDPR and lessons learned for future research on sensitive topics in hard-to-reach populations such as AIPs. Conclusions: To achieve reliable prevalence numbers and provide high-quality data on SV in AIPs while respecting the GDPR regulations, studies will require an approach that has become significantly more time consuming and resource-intensive to implement.

scholarly journals Data Protection in AI Services

2021 ◽  
Vol 54 (2) ◽  
pp. 1-38
Author(s):  
Christian Meurisch ◽  
Max Mühlhäuser
Keyword(s):  
Artificial Intelligence ◽  
Data Protection ◽  
Interdisciplinary Research ◽  
Management System ◽  
Cutting Edge ◽  
Future Directions ◽  
Research Challenges ◽  
Open Research ◽  
User Data ◽  
Different Levels

Advances in artificial intelligence (AI) have shaped today’s user services, enabling enhanced personalization and better support. As such AI-based services inevitably require user data, the resulting privacy implications are de facto the unacceptable face of this technology. In this article, we categorize and survey the cutting-edge research on privacy and data protection in the context of personalized AI services. We further review the different protection approaches at three different levels, namely, the management, system, and AI levels—showing that (i) not all of them meet our identified requirements of evolving AI services and that (ii) many challenges are addressed separately or fragmentarily by different research communities. Finally, we highlight open research challenges and future directions in data protection research, especially that comprehensive protection requires more interdisciplinary research and a combination of approaches at different levels.

scholarly journals Research in Hard-to-Reach Populations: Challenges and Strategies for Conducting Sexual Violence Studies in Applicants for International Protection beyond the European General Data Protection Regulation

2021 ◽  
Author(s):  
Lotte De Schrijver ◽  
Adina Cismaru Inescu ◽  
Bastien Hahaut ◽  
Christophe Vandeviver ◽  
Laurent Nisen ◽  
...  
Keyword(s):  
Sexual Violence ◽  
Study Design ◽  
Data Protection ◽  
Recruitment Strategy ◽  
Quality Data ◽  
International Protection ◽  
General Data Protection Regulation ◽  
Research Challenges ◽  
Hard To Reach Populations ◽  
General Data

Background: Conducting research in hard-to-reach populations such as applicants for international protection (AIPs) brings along a number of research challenges. This is especially true for sexual violence (SV) research. Methods: We developed a study design with the intent to reach AIPs in a randomized and anonymous manner including potential illiterate respondents as well, while avoiding as much bias as possible. However, this method was developed just before the entry into force of the new European General Data Protection Regulation (GDPR), upon which important new research challenges emerged. Results: This paper describes the original study design developed to estimate SV prevalence in AIPs in Belgium. We discuss the impact of the GDPR on the recruitment strategy applied to conduct a survey on SV in a randomly selected sample of AIPs, the adapted approach to conduct the study beyond GDPR and lessons learned for future research on sensitive topics in hard-to-reach populations such as AIPs. Conclusions: To achieve reliable prevalence numbers and provide high-quality data on SV in AIPs while respecting the GDPR regulations, studies will require an approach that has become significantly more time consuming and resource-intensive to implement.

Improving adjustment and resilience in children following a disaster: Addressing research challenges.

2018 ◽  
Vol 73 (3) ◽  
pp. 215-229 ◽  
Author(s):  
Wendy S. Grolnick ◽  
David J. Schonfeld ◽  
Merritt Schreiber ◽  
Judith Cohen ◽  
Valerie Cole ◽  
...  
Keyword(s):  
Research Challenges
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